Triple
T2043816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maghribi script |
E45403
|
entity |
| Predicate | preservationLocation |
P2249
|
FINISHED |
| Object | manuscript collections in Morocco |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: manuscript collections in Morocco | Statement: [Maghribi script, preservationLocation, manuscript collections in Morocco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservationLocation Context triple: [Maghribi script, preservationLocation, manuscript collections in Morocco]
-
A.
preservedAt
chosen
Indicates that something is kept, maintained, or conserved in a particular place or context.
-
B.
stateOfPreservation
Indicates the condition or degree to which something has been maintained, conserved, or kept intact over time.
-
C.
notableCollectionLocation
Indicates the place where a notable collection of items, works, or artifacts is held or housed.
-
D.
preservationMethod
Indicates the technique or process used to maintain, protect, or prolong the condition, quality, or usability of something over time.
-
E.
preservationFocus
Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.